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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleAs Senior Corporate Counsel, you will serve as a trusted advisor to product, engineering, and security teams, embedding legal and compliance frameworks into our product lifecycle. You will deliver practical, business-oriented guidance that supports innovation while ensuring compliance with healthcare, privacy, and other regulatory requirements. This is an opportunity to be at the forefront of AI in healthcare.What You’ll DoServe as product counsel, partnering across the engineering, product, and security teams to support product design, development, and deployment.Provide actionable legal guidance on regulatory, privacy, and compliance matters, including HIPAA, CCPA/CPRA, and the evolving AI/ML landscape.Advise on healthcare regulatory compliance, including FDA, FTC, fraud and abuse (FCA, AKS), and related state laws.Partner with other cross-functional teams including policy, partner experience, marketing, IT, finance, corporate development, and commercial to ensure alignment and mitigate risk.Support privacy impact assessments, compliance risk assessments, and data governance efforts and frameworks.Coordinate with external counsel to resolve specialist issues and ensure fast delivery of actionable legal guidance and risk analysis.Monitor emerging regulations around AI, data use, and healthcare technology and advise internal stakeholders on their implications.What You’ll BringPassion for Abridge’s mission and the energy and drive to support a fast-moving product and operational teams8+ years of legal experience, including 4+ years in product counseling. Prior in-house, government, or law firm experience focused on healthcare is a requirement.Strong understanding of and experience with federal and state healthcare laws, including HIPAA and data privacy regulationsExperience with FDA, FTC, FCA and fraud, waste, and abuse laws.Proven ability to communicate and translate complex regulatory and legal concepts into clear, practical guidance for non-legal counterparts and colleagues.Comfort and confidence with juggling a high volume of projects, tight timelines, and competing priorities.Demonstrated ability to work independently and exercise business judgement; interest in joining a small team that prioritizes autonomy and trust.Proven ability to work cross-functionally, particularly with technical teams, designers, and commercial teams, building relationships and earning their confidence.Creativity in solving and navigating novel legal matters; experience in crafting new processes and language to meet the needs of a rapidly-moving enterprise in a novel industry.Bonus Points If…Expertise in intellectual property, AI, interoperability, or technology lawFamiliarity with recent trends in artificial intelligence, particularly with large language models and responsible AI principlesPrior in-house experience (bonus points if at a growth-stage or healthcare technology company)This role is a remote position, but preference in either San Francisco or New York City.Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleWe’re looking for Senior Integrations Engineers to join our growing team! This role is instrumental in supporting our expansion in our hyper growth phase. You’ll play a key role in designing, building, and scaling our integrations powering our product. You’ll work alongside our engineers, implementation specialists, support, and product managers to build real-time and batch data integrations with our partners and clients.What You’ll DoScale up our business by designing, building, and supporting our integrations and infrastructureBuild robust healthcare integrations without compromising security, privacy, or quality. These integrations will leverage technology standards using REST-like APIs, healthcare standards such as FHIR and HL7v2, and other third-party APIs.Collaborate closely with our health system customers to deploy, troubleshoot, and support integrations. Be comfortable engaging with external partners and stakeholders.Enhance existing systems to add new functionality, and to improve performance, stability, quality, and securityAdvocate for high standards; make quality-of-life improvements to the codebase; add documentation and share knowledge; and help limit the growth of technical debtBuild deep user empathy and maintain a user-centric mindsetCommunicate regularly and effectively within and on behalf of our cross-functional product delivery teams. You’ll work with other disciplines, including design, product, machine learning, and infrastructure, and will have opportunities to learn from and contribute to projects across the companyWhat You’ll Bring5+ years of experience launching business-critical integrations with large enterprisesExperience working with technologies REST-like APIs, OAuth2.0, mTLSExcitement about working on our tech stack, which include NodeJS/TypeScript and Google Cloud PlatformPassionate about working in healthcare integrationsAbility to act with autonomy & self-direction while working well in a team environmentWillingness to pitch in wherever needed - as a fast-moving startup we need to do good work, quicklyComfortable with working across domains and languages with a curiosity to experiment & learn new thingsStrong communication with internal and external stakeholdersNice to Have2+ years of experience working with healthcare data integrationsExperienced in delivering integrations with EHRs like Oracle Health/Cerner and othersFamiliarity with one or more of the following technologies: FHIR, HL7, X12Must be willing to work from our SF or NY office at least 3x per week (Relocation assistance is available for candidates willing to move to San Francisco or New York)This position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week.Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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Who We Are PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning. Our team, comprising diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact. We are seeking an experienced Contract Database / Data Warehouse Specialist to enhance the scalability, performance, and maintainability of our ML data infrastructure. The ideal candidate will bring expertise in relational databases, ETL processes, and modern big data deployments. You will work closely with our MLOps and ML engineering teams to optimize storage usage, modernize ETL pipelines, deploy new technology, and/or build / enhance tools that support analytics and machine learning workflows. Contract Duration: Minimum 6 months Location: Remote (U.S.) What You’ll Do Analyze and optimize storage strategies for ML experiment data and metadata. Design and implement intelligent retention and expiration for large-scale datasets. Modernize and refactor ETL pipelines to improve scalability and ease of maintenance. Build and enhance database-backed applications supporting ML R&D and production analytics. Collaborate with ML engineers, SREs, and platform teams. Provide knowledge transfer for long-term maintainers. What You’ll Need Proven expertise with relational databases (e.g., Postgres, Amazon RDS, Aurora), including schema design, query optimization, and performance tuning. Strong experience with ETL development and cloud data warehousing (e.g., Snowflake, Redshift). Familiarity with big data deployments and scalable architectures such as Spark and Hive. Experience with Apache Airflow for systems automation. Proficiency in Python for application development, data processing and automation. Understanding of S3-based storage and large-scale data management strategies. Ability to write clear technical documentation and collaborate effectively across teams. Experience with query optimization, data partitioning strategies, and cost optimization in cloud environments Nice to Have Background in machine learning data pipelines or analytics-heavy environments. Knowledge of data governance, retention policies, or cost-optimization strategies in cloud environments. We Want to Hear From You At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for.  PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.  #LI-Remote

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About Sana We're on a mission to revolutionize how humans access knowledge through artificial intelligence. Throughout history, breakthroughs in knowledge sharing—from the Library of Alexandria to the printing press to Google—have been pivotal drivers of human progress. Today, as the volume of human knowledge grows exponentially, making it accessible and actionable remains one of humanity's most critical challenges. We're building a future where knowledge isn't just more accessible—it's a catalyst for achieving the previously impossible. If all of this sounds exciting, you’re in the right place. About the roleWe believe that everything starts with learning. And that by changing the way the world learns, we can change the world for the better. If that’s a mission that excites you, you’ll be in great company at Sana. Join our Stockholm team as an Engagement Manager and work alongside a team of highly motivated people from previous workplaces such as Google AI, Spotify, BCG, and McKinsey. Our Impact team is known for its adaptability, entrepreneurial spirit, and relentless pursuit of excellence, embodying our core belief that learning is the foundation of all meaningful change.In the Impact team, we work very closely with the companies who choose Sana. Together we problem solve, design solutions and implement them to drive change. Ultimately we measure ourselves through the impact we achieve through rolling out and adopting Sana. Our challenges are to continually learn and adapt to meet the unique needs of each company and team, and implement the creative solutions that make us proud of what we have achieved. While doing so we define what the future Sana's customer success, solution engineering and deployments teams will look like. By scaling this team, we create a significant impact on how people learn, across every industry, and across the globe.What will help you thriveAre naturally curious, always seeking to learn, and view every challenge as a growth opportunity.Possess grit and determination, allowing you to weather setbacks and persist towards your goals.Are driven by excellence, striving for greatness in everything you do. Embody humbleness, always ready to learn from others and unafraid to admit when you're wrong. Are deeply committed to our mission of changing the way the world learns, and have a genuine passion for global business development. Possess an entrepreneurial spirit, with the mindset of a founder and the readiness to build our customer success team. Are impact-driven, motivated to make a difference and continuously push the limits of what's possible. What We OfferHelp shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.Competitive salary complemented with a transparent and highly competitive options program.Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.Work with talented teammates across 5+ countries, and collaborate with customers globallyRegular team gatherings and events (recently in Italy and South Africa)

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About UsAt Harmattan AI, we are a next-generation defense prime building autonomous and scalable defense systems. Driven by rigorous engineering developments of new defense products based on recent robotics and AI developments, we are on a steep growth trajectory. If you are interested in a career in a highly technical environment, thrive on pushing boundaries, and want to achieve ambitious goals, we would love to hear from you.About the RoleAs a Software Engineer within the Ground Control Systems (GCS) team, you will play a central role in developing Harmattan AI’s new range of drone controllers — high-performance, Android-based control stations designed for professional UAV operations. You will adapt and extend the open-source QGroundControl platform (C++/Qt) to integrate seamlessly with our proprietary hardware, adding new features and ensuring reliability, performance, and scalability across missions.ResponsibilitiesApp Development: Design, develop, and optimize our QGroundControl-based application using C++ and Qt.Hardware Integration: Adapt the app interface with physical controls (joysticks, buttons, switches, touchscreen) for a cohesive operator experience.Feature Implementation: Translate user needs and mission requirements into new functionalities and UX/UI improvements.Platform Maintenance: Port and maintain the app across Android versions, ensuring performance, compatibility, and security.Deployment: Manage app updates and releases across our device fleet.Collaboration: Work closely with embedded and electronics teams to ensure smooth hardware/software integration and with QA for field validation.Candidate RequirementsMaster’s degree in Software Engineering or related field.3+ years of experience in software development: C++ and Qt for desktop or embedded applications.Experience with Android development (Java or C++/NDK).Familiarity with UX/UI design principles and cross-platform app optimization.Experience in robotics or drones environments is a strong plus.Knowledge of MAVLink, PX4, or ground control systems is an advantage.English proficiency (reading and writing technical documentation).Versatile, autonomous, and eager to learn in a fast-evolving technical environment.Location and CommitmentsContract Type: Permanent contract (CDI)Work Schedule: Full-timeAvailability: ASAPLocation: ParisWe look forward to hearing how you can help shape the future of autonomous defense systems at Harmattan AI.

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About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.About the role As an Enterprise Account Executive at Anthropic, you'll join the foundational team at the forefront of introducing our cutting-edge AI productivity SaaS solution to large enterprise organizations across DACH. You'll drive the adoption of safe, frontier AI by securing strategic deals with major corporations, technology companies, and research institutions. You'll leverage your consultative sales expertise in the enterprise sector to propel revenue growth while becoming a trusted partner to enterprise stakeholders, helping them embed and deploy AI while uncovering its full range of capabilities across business operations, research, and administration. In collaboration with GTM, Product, and Marketing teams, you'll continuously refine our value proposition, sales methodology, and market positioning to resonate with enterprise decision-makers in the French market. Responsibilities: Win new business and drive revenue for Anthropic within the enterprise sector across DACH. Navigate complex enterprise organizations to reach key decision-makers, educate them about our services, and help them succeed with Anthropic. You'll own the full sales cycle, from first outbound to close Design and execute innovative sales strategies tailored to enterprise procurement cycles and budgeting processes to meet and exceed revenue quotas. Analyze enterprise market landscapes, trends, and dynamics to translate high-level plans into targeted sales activities and campaigns Spearhead market expansion by identifying new use cases within enterprise departments, innovation centers, and operational offices. Collaborate cross-functionally to differentiate our offerings for enterprise applications Navigate complex enterprise stakeholder ecosystems including executives, administrators, IT departments, and procurement offices to build consensus across DACH business culture and practices Inform product roadmaps and features by gathering feedback from enterprise users and conveying market needs from the French enterprise landscape. Provide insights that strengthen our value proposition for enterprise customers Continuously refine the enterprise sales methodology by incorporating learnings into playbooks, templates, and best practices. Identify process improvements that optimize sales productivity and consistency You may be a good fit if you have: Native German speaker with excellent written and verbal communication skills in German and English 5+ years of B2B sales experience in enterprise technology, preferably in SaaS or emerging technologies Specialised sales industries experience: Telco, Manufacturing, Retail, Energy and Utilities A track record of managing complex sales cycles within large enterprise organizations and securing strategic deals by understanding both technical requirements and business use cases Demonstrated ability to navigate enterprise bureaucracies and procurement processes, building consensus among diverse stakeholders including executives, administrators, and IT departments Extensive experience negotiating complex agreements within enterprise procurement frameworks and policies Proven experience exceeding revenue targets in the enterprise sector by effectively managing an evolving pipeline and sales process Excellent communication skills and the ability to present confidently to various enterprise audiences, from technical teams and business analysts to senior executives Deep understanding of enterprise buying cycles, decision-making processes, and key pain points, particularly within the French market A strategic, analytical approach to assessing the enterprise market combined with creative, tactical execution to capture opportunities A passion for and/or experience with advanced AI systems and their applications in enterprise environments. You feel strongly about ensuring frontier AI systems are developed safely and ethically for business use What We Offer: Competitive base salary and commission structure Equity participation in Anthropic's growth Comprehensive benefits package Opportunity to shape the AI industry in DACH and EMEA Professional development and career growth opportunities Location: Munich, Germany (hybrid working available) The expected base compensation for this position is below. Our total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.Annual Salary:€205.000—€255.000 EURLogistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process

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CSQ127R41   At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization.   The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritised customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic accounts Be the accountable technical leader assigned to specific use cases and customer(s) across multiple selling teams and internal stakeholders, creating certainty from uncertainty and driving onboarding, enablement, success, go-live and healthy consumption of the workloads where the customer has made the decision to consume Databricks Be the first contact for any technical issues or questions related to production/go live status of agreed upon use cases within an account, oftentimes services multiple use cases within the largest and most complex organizations Leverage both Shared Services, User Education, Onboarding/Technical Services and Support resources, along with escalating to expert level technical experts to build the right tasks that are beyond your scope of activities or expertise Create, own and execute a point-of-view as to how key use cases can be accelerated into production, coordinating with Professional Services (PS) resources on the delivery of PS Engagement proposals Navigate Databricks Product and Engineering teams for new product Innovations, private previews and upgrade needs Develop an execution plan that covers all activities of all customer-facing technical roles and teams to cover the below work streams: Main use cases moving from ‘win’ to production Enablement / user growth plan Product adoption (strategy and activities to increase adoption of Databricks’ Lakehouse vision) Organic needs for current investment (e.g. cloud cost control, tuning & optimization) Executive and operational governance Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: Extensive experience where you have been accountable for technical project / program delivery within the domain of Data and AI and where you can contribute to technical debate and design choices with customers Programming experience in Python, SQL or Scala Experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role Understanding of solution architecture related distributed data systems Understanding of how to attribute business value and outcomes to specific project deliverables Technical program, or project management including account, stakeholder and resource management accountability Experience resolving complex and important escalation with senior customer executives Experience conducting open-ended discovery workshops, creating strategic roadmaps, conducting business analysis and managing delivery of complex programmes/projects Track record of overachievement against quota, Goals or similar objective targets Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience Can travel up to 30% when needed About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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About Sana We're on a mission to revolutionize how humans access knowledge through artificial intelligence. Throughout history, breakthroughs in knowledge sharing—from the Library of Alexandria to the printing press to Google—have been pivotal drivers of human progress. Today, as the volume of human knowledge grows exponentially, making it accessible and actionable remains one of humanity's most critical challenges. We're building a future where knowledge isn't just more accessible—it's a catalyst for achieving the previously impossible. If all of this sounds exciting, you’re in the right place.About the RoleOur Solutions Engineering team plays a pivotal role in bridging the gap between our product development and client-facing teams for our latest product, Sana AI. The team prides itself on its adaptability, entrepreneurial spirit, and relentless pursuit of excellence. Many team members have joined from previous workplaces like Google AI, Spotify, BCG, and McKinsey.It’s an exciting time to be working with AI, especially at Sana. Our goal is to build an AI assistant for work with infinite capabilities—one that can process any amount of information, answer any question, assist with all knowledge work, and ultimately solve difficult problems autonomously. This means you’ll get to work with state-of-the-art LLMs, and be on the frontlines of operationalizing the potential of AI within some of the most pioneering companies around the globe.As the Sana AI's footprint expands through an increasing client based and users, your role will likely evolve to include the coaching and onboarding of additional solution engineers, as well as the scaling the designed and implemented solution, and the creation and the iterations on the playbooks required to make the Sana AI solutions succeed at scale.What you’ll doProvide dedicated technical support during pre-sales and implementation phases, ensuring that client queries are addressed promptly and accurately.Engage directly with clients, especially large enterprises, to build trust and credibility by demonstrating deep technical knowledge.Collaborate closely with product managers and engineers to stay updated on the latest product developments and ensure seamless communication between teams.Address complex technical issues that arise during sales and deployment, ensuring that solutions are implemented efficiently and effectively.Identify and implement process improvements to enhance the efficiency of the sales and deployment processes.What will help you thriveA strong technical background with experience in software engineering, systems engineering, or a related field.Proven experience in a client-facing technical role, preferably within the tech industry.Excellent problem-solving skills with the ability to address complex technical issues quickly and effectively.Strong verbal and written communication skills and can explain technical concepts to non-technical stakeholders.Working collaboratively with cross-functional teams, including product managers, engineers, and sales teams.A self-starter mindset, meaning you can proactively identify issues and opportunities and tackle them without being told to do so.What We OfferHelp shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.Competitive salary complemented with a transparent and highly competitive options program.Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.Work with talented teammates across 5+ countries, and collaborate with customers globallyRegular team gatherings and events (recently in Italy and South Africa)

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YOUR MISSION: As our Value Engineer, you will partner with Direct SEs, Partner SEs, and Sales to quantify and articulate the business value of Agentic AI solutions. This role operates as a business advisor during pursuits — building ROI/TCO models, conducting value discovery, and delivering board-ready narratives that de-risk investment decisions.   IN THIS ROLE YOU WILL: Business Discovery Collaborate with SEs during discovery to capture KPIs, financial metrics, and business outcomes. Facilitate value discovery workshops with client executives. Business Case Development Build ROI/TCO models tailored to each client’s business. Package findings into board-level deliverables (dashboards, one-pagers, exec decks). Validate POV results against projected business outcomes. Direct Sales Alignment Partner with Direct SEs to attach ROI/TCO analysis to strategic deals. Provide executives with clear, financial justification for AI investment. Ensure solution design connects to measurable outcomes. Partner Sales Alignment Support Partner SEs by embedding VE into partner enablement materials. Train partners on how to deliver basic ROI/TCO assessments. Join joint partner pursuits as a business advisor when needed. Post-Sale Value Realization Work with Professional Services and Customer Success to track realized value. Deliver post-implementation value reviews for customer executives. Create case studies to feed back into partner and sales enablement. WHAT YOU BRING TO THE TABLE: 3+ years in Value Engineering, Solution Consulting, or Management Consulting Strong financial modeling and data analysis skills (ROI, TCO, KPI frameworks) Experience presenting to executives (CFO, COO, CIO) in enterprise accounts Familiarity with SaaS, CCaaS, AI, or enterprise technology business models Strong collaboration skills working with SEs, PS, and Partner teams Excellent storytelling and executive presentation skills WHAT'S IN IT FOR YOU? Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture. Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI. Deutschland ticket, Urban Sports Club, Job Rad, Nilo Health, weekly sponsored office lunches. Competitive compensation and equity package. Flexible working hours, 28 vacation days and workation opportunities. Access to a training and development budget for continuous professional growth. Regular team events, game nights, and other social activities. Work from a home and/or our beautiful office(s) in the heart of Berlin or Munich with adjustable desks, social areas, fresh fruits, cereals, and drinks.   Your recruiting process at Parloa: Recruiter video call → Meet your manager → Challenge Task → Expert interview(s) → Bar Raiser Interview    Why Parloa?  Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York. When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey. Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team. Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information. * We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

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About GPTZeroGPTZero is on a mission to restore trust and transparency on the internet. As the leading AI detection platform, we empower educators, students, journalists, marketers, and writers to navigate the evolving landscape of AI-generated content. With millions of users and institutions relying on us, we’re building a category-defining company at the intersection of AI and information integrity. Our team comes from high-performing engineering cultures, including Uber, Meta, Perplexity, Amazon, Affirm, and leading AI research labs, including Princeton, Caltech, MILA, and Vector.About this role:In this role, you'll build the next generation of AI tools that promote critical thinking, assist in the writing process, and verify document factuality. The ideal candidate is someone who is adept at creating reliable AI agents, prompt engineering, possesses a great product sense, and is also an excellent software engineer. You'll be working on a fast-paced team of passionate builders to create industry-defining software that has attracted millions of users globally.What you'll contribute:Fine-tune and evaluate state-of-the-art language modelsOptimize prompts to maximize classification accuracy, personalize outputs, and enforce style guidelinesDevelop multi-agent workflows incorporating data from diverse sources using RAGImprove and iterate on AI agents using observability and experimentation toolsStay up-to-date with the latest literature and emerging technologies to solve novel problemsWork closely with product and design teams to develop intuitive applications that create societal impactQualifications4+ YOE in Python1+ YOE in LLM framework like Langchain or LlamaIndex1+ YOE with agentic or RAG applicationsStrong exploratory data analysis (EDA) skills to effectively leverage data in a way that informs pragmatic solutionsExperience pushing the cutting-edge in LLM abilities on novel tasks with subjective outputsExcellent software engineer with experience building highly extensible and modular codebases, as well as complex pipelinesSelf-starter (pitch, plan, and implement as a project owner in a fast-paced team)Highly motivated to make positive societal impactAbility to wear multiple hats and be a leader as our team growsVisa for work in Canada or USBonus:Strong open-source portfolioPublications at top-tier ML venuesExperience working in an early-stage startup environmentExperience with a prompt optimization framework like DsPY or TextGrad

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About AbridgeAbridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients.Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. The RoleOur generative AI-powered products are making a huge impact in the Healthcare industry. As an AI Platform Engineer, you will collaborate closely with a cross-functional team of researchers, clinical scientists, and product engineers. You will design and build the runtime, orchestration engine, and evaluation platform for agentic orchestration and LLM-driven workflows.What You’ll DoDesign and build GenAI systems that turn LLMs into composable, dependable tools—leveraging retrieval, tool use, agentic reasoning, and structured outputs.Design and implement a highly reliable and scalable agent runtime: orchestration, shared state and memory, tool-calling interfaces, and scheduling for cost, latency, and quality.Build secure, sandboxed execution for agent actions and code; optimize cold start, isolation, and observability.Ship unified interfaces for multiple model sizes and providers; integrate with open tool ecosystems such as MCP-style connectors for data and actions.Develop an evaluation platform for online and offline assessments, A/B tests, safety checks, and regression gates that improve agent reliability over time.Partner with Research to deliver new agent capabilities end to end—from prototype to production.What You’ll BringExperience building agent applications with tool-calling, context engineering, or open connector integrations.Fluency with LLM APIs, prompting strategies, and orchestration patterns (e.g., LangChain, LlamaIndex, or custom pipelines).Experience with retrieval systems (e.g., semantic and lexical retrieval, vector DBs, efficient kNN), function calling, tool use, or agentic workflows.Strong coding skills in one or more of: Python, Java, Go. Comfortable with service design, APIs, and data models for high-throughput systems.Working knowledge of containers and kubernetes concepts. Familiarity with metrics, tracing, on-call rotations, and incident response practices.Self-motivated with a willingness to take ownership.Strong communication skills and ability to work collaboratively in a team environment.Bonus Points If…Prior work on agent orchestration pipelines: task routing, planning, memory graphs, vector search, or browser automation.Experience with evaluations, preference optimization, or RL to improve LLM reliability.Why Work at Abridge?At Abridge, we’re transforming healthcare delivery experiences with generative AI, enabling clinicians and patients to connect in deeper, more meaningful ways. Our mission is clear: to power deeper understanding in healthcare. We’re driving real, lasting change, with millions of medical conversations processed each month.Joining Abridge means stepping into a fast-paced, high-growth startup where your contributions truly make a difference. Our culture requires extreme ownership—every employee has the ability to (and is expected to) make an impact on our customers and our business.Beyond individual impact, you will have the opportunity to work alongside a team of curious, high-achieving people in a supportive environment where success is shared, growth is constant, and feedback fuels progress. At Abridge, it’s not just what we do—it’s how we do it. Every decision is rooted in empathy, always prioritizing the needs of clinicians and patients.We’re committed to supporting your growth, both professionally and personally. Whether it's flexible work hours, an inclusive culture, or ongoing learning opportunities, we are here to help you thrive and do the best work of your life.If you are ready to make a meaningful impact alongside passionate people who care deeply about what they do, Abridge is the place for you. How we take care of Abridgers:Generous Time Off: 13 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees.Comprehensive Health Plans: Medical, Dental, and Vision plans for all full-time employees. Abridge covers 100% of the premium for you and 75% for dependents. If you choose a HSA-eligible plan, Abridge also makes monthly contributions to your HSA. Paid Parental Leave: 16 weeks paid parental leave for all full-time employees.401k and Matching: Contribution matching to help invest in your future.Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.Learning and Development Budget: Yearly contributions for coaching, courses, workshops, conferences, and more.Sabbatical Leave: 30 days of paid Sabbatical Leave after 5 years of employment.Compensation and Equity: Competitive compensation and equity grants for full time employees.... and much more!Equal Opportunity EmployerAbridge is an equal opportunity employer and considers all qualified applicants equally without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.Staying safe - Protect yourself from recruitment fraudWe are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions. 

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About Sana We're on a mission to revolutionize how humans access knowledge through artificial intelligence. Throughout history, breakthroughs in knowledge sharing—from the Library of Alexandria to the printing press to Google—have been pivotal drivers of human progress. Today, as the volume of human knowledge grows exponentially, making it accessible and actionable remains one of humanity's most critical challenges. We're building a future where knowledge isn't just more accessible—it's a catalyst for achieving the previously impossible. If all of this sounds exciting, you’re in the right place. Future graduatesSana is leading the way in an unprecedented time, with AI enabling change that will be more significant than the internet revolution. In this unprecedented moment, what we do one day can be obsolete the next. This requires extreme intuition, strategic minds, bold tradeoffs, and not least, grit. For the right person, it’s equally challenging as it is rewarding, as we’re doing something every day worth recounting to future generations.About the roleThis is an open application for those who are graduating in the upcoming years and would like to be part of a dynamic team. Whether you're in Operations, Marketing, Customer Success, Go-to-Market, or Product, your future role will involve identifying emerging market needs and trends, contributing to product development, and understanding how Sana can address the challenges faced by leading global organizations. You'll help shape the future strategies and structures within your team, focusing on expanding into new markets, supporting strategic initiatives, and developing the tools and processes that enable Sana to scale effectively. What will help you thriveCurrently enrolled in a university.Speak fluent English, and preferably one more European/Nordic language.Possess entrepreneurial spirit and adaptability, alongside a relentless determination to deliver and achieve targets.Passion about workforce efficiencies and deeply committed to continuous learning and development.A humble and curious mind.Enthusiasm about starting a career with Sana post-graduation.What We OfferHelp shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.Competitive salary complemented with a transparent and highly competitive options program.Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.Work with talented teammates across 5+ countries, and collaborate with customers globallyRegular team gatherings and events (recently in Italy and South Africa)

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Lambda, The Superintelligence Cloud, builds Gigawatt-scale AI Factories for Training and Inference. Lambda’s mission is to make compute as ubiquitous as electricity and give every person access to artificial intelligence. One person, one GPU. If you'd like to build the world's best deep learning cloud, join us.  *Note: This position requires presence in our San Francisco/San Jose or Seattle office location 4 days per week; Lambda’s designated work from home day is currently Tuesday. Engineering at Lambda is responsible for building and scaling our cloud offering. Our scope includes the Lambda website, cloud APIs and systems as well as internal tooling for system deployment, management and maintenance. About the RoleEngineering at Lambda is responsible for building, operating, scaling and maintaining our AI Cloud offerings. The HPC Deployments team are responsible for deploying cutting edge NVIDIA GPU clusters on time, at scale and with 100% quality & correctness.Reporting to the Director of Fleet Engineering, you will lead and scale one of our HPC Deployments teams. This work is highly cross functional and critical to the timely success of our customers. Your team is focused on building and validating clusters deployed across our data center facilities. You will work collaboratively with Product and Infrastructure engineering teams to improve transparency, metrics, automation and overall efficiency for the team. We value diverse backgrounds, experiences, and skills, and we are excited to hear from candidates who can bring unique perspectives to our team. If you do not exactly meet this description but believe you may be a good fit, please still apply and help us understand your readiness for this Manager role. Your application is not a waste of our time.What You’ll DoLead and grow a distributed top-talent team of HPC engineers responsible for the configuration, validation, deployment of large scale GPU clusters.Work cross functionally with teams in the organization to deliver projects and deployments on time, ensuring alignment across stakeholders.Identify opportunities for efficiency improvements in the tools / process / automation that the team relies upon day to day.Ensure stakeholders have clear visibility into deployment progress, risks, and outcomes.Drive outcomes by managing staff allocations, project priorities, deadlines, and deliverables.Conduct regular one-on-one meetings, provide constructive feedback, and support career development for team members.Stay current on the latest HPC/AI technologies and best practicesParticipate in the qualification efforts of new technologies for use in our production deploymentsYouExtensive experience in HPC or large-scale infrastructure, including at least 3 years in a leadership or management role.Work well under deadlines and structured project plans; able to successfully (and tactfully) negotiate changes to project timelinesHave excellent problem solving and troubleshooting skillsCan effectively collaborate with peer engineering managers to coordinate efforts that may impact deployment operationsAre comfortable leading and mentoring HPC engineers on cluster deployments as neededExperience building a high-performance team through deliberate hiring, upskilling, planned skills redundancy, performance-management, and expectation setting.Have flexibility to travel to our North American data centers as on-site needs arise or as part of training exercisesNice to HaveExperience with Linux systems administration, automation, scripting/coding.Experience with containerization technologies (Docker, Kubernetes)Experience working with the technologies that underpin our cloud business (GPU acceleration, virtualization, and cloud computing)Experience with machine learning and deep learning frameworks (PyTorch, Tensorflow) and benchmarking tools (DeepSpeed, MLPerf)Soft Skills (customer awareness, diplomacy)Bachelor’s degree or equivalent experience in a technical field.Salary Range InformationThe annual salary range for this position has been set based on market data and other factors. However, a salary higher or lower than this range may be appropriate for a candidate whose qualifications differ meaningfully from those listed in the job description. About LambdaFounded in 2012, ~400 employees (2025) and growing fastWe offer generous cash & equity compensationOur investors include Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, US Innovative Technology, Gradient Ventures, Mercato Partners, SVB, 1517, Crescent Cove.We are experiencing extremely high demand for our systems, with quarter over quarter, year over year profitabilityOur research papers have been accepted into top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOGHealth, dental, and vision coverage for you and your dependentsWellness and Commuter stipends for select roles401k Plan with 2% company match (USA employees)Flexible Paid Time Off Plan that we all actually useA Final Note:You do not need to match all of the listed expectations to apply for this position. We are committed to building a team with a variety of backgrounds, experiences, and skills.Equal Opportunity EmployerLambda is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.

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About MaincodeMaincode is an AI research and engineering company and home to Matilda, Australia’s first and only large language model trained from scratch. We operate our own advanced AI infrastructure in local data-centres; designing, building, and running everything from the racks up through model training and serving systems.We’re building an AI Model Factory, a new kind of compute infrastructure that powers frontier AI research and production systems that work at scale. About the RoleDespite the title, this role isn’t really about traditional mechatronics. We’re looking for something that doesn’t quite exist in the market: an AI Model Factory Architect.This role sits at the intersection of physical systems, large-scale compute, and AI research. You’ll help design and operate the infrastructure that trains large-scale models: racks of GPUs, high-performance networks, and the orchestration systems that keep them running.People with strong research instincts and systems thinking thrive here. You don’t need prior datacenter experience; curiosity, first-principles reasoning, and the ability to learn fast matter more. Someone from mechatronics, robotics, or aerospace who has strong computational skills could excel in this role. We’ll give you the time, mentorship, and resources to master how these systems work, and you’ll develop expertise in one of the most essential technical domains of the coming decade. What You’ll DoLearn to design, deploy, and operate the backbone of AI infrastructure.Work with GPU clusters, high-speed networking, and large-scale Linux systems.Contribute to the architecture of Australia’s first production-scale AI datacentre systems.Collaborate with AI researchers and engineers to shape the next generation of model training environments.Develop new operational and architectural approaches from first principles. You Might Be a Fit IfYou have a background in a technical or scientific field (mechatronics, robotics, aerospace, physics, or similar) and strong computational skills (e.g., modelling and numerical simulation, automation, MPI or HPC environments, GPU and accelerator programming, systems programming, or Linux).You enjoy understanding complex systems from first principles.You learn new technologies fast and apply them independently.You think in terms of system architecture, how components interact and scale.You’re curious about how AI actually runs, from circuits and cooling to training loops.

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AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS) Req ID: CSQ127R84 Recruiter: Adam rabinovitch Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialised customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specialisations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. We welcome remote applicants located near our offices. The preferred locations (in priority order) are London (UK), Madrid (Spain), Paris (France), and Amsterdam (NL). Reporting to: Senior Manager - AI FDE, EMEA The impact you will have: Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI research to solve customer problems Own production rollouts of consumer and internally facing GenAI applications Serve as a trusted technical advisor to customers across a variety of domains Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap  What we look for: Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy Expertise in deploying production-grade GenAI applications, including evaluation and optimizations  Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. Experience building production-grade machine learning deployments on AWS, Azure, or GCP Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike Passion for collaboration, life-long learning, and driving business value through AI [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets We require fluency in English and welcome candidates who also speak French, Spanish, Dutch, or German About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.  Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

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About Us  Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. Why Join us Are you ready to shape the future of the industry-leading Gen AI Conversation Intelligence Platform for Contact Centers? The Observe.ai Product Design Team is dedicated to crafting intuitive, impactful, and scalable experiences that empower users across our platform. We drive innovation by blending deep product sense, rigorous research, and exceptional craft, ensuring our designs align with both user needs and business objectives. Our team operates across multiple levels, from early-career designers refining their skills to seasoned leaders shaping the long-term vision of Observe’s product experience. We prioritise collaboration, mentorship, and a strong design culture, fostering a space where creativity thrives and design excellence sets new industry standards. As a design organization, we don't just build interfaces—we influence strategy, improve workflows, and elevate the entire product ecosystem through thoughtful, user-centered solutions.As a Senior Product Designer at Observe.ai, you will play a key role in shaping the user experience and interface of our products.  To be considered for this role, please submit your resume and portfolio via our career portal or Linkedin. Please provide your portfolio’s password if needed. We’d especially like to see clear problem definition based on research, creativity process on solutioning, strong rationale of design decision making, and polished Ui & interaction designs that solves the defined problems. What you’ll be doing  Lead Design Solutions: Own and execute design projects that span multiple product areas, creating scalable and flexible design systems. Product Vision & Strategy: Refine and improve the long-term direction of our products, working independently or with partners to define strategic design goals. User Research & Data-Informed Design: Use qualitative and quantitative insights to inform design decisions, ensuring our solutions effectively address user needs. Visual & Interaction Design Excellence: Deliver high-quality, visually polished, and highly usable designs, considering accessibility, responsiveness, and edge cases. Design Systems Contribution: Help evolve our design systems, improving consistency and efficiency across Observe.ai’s platform. Cross-Functional Collaboration: Work closely with product managers, engineers, and other stakeholders to ensure seamless execution from concept to implementation. Mentorship & Leadership: Provide guidance to junior designers, sharing knowledge and fostering a culture of design excellence. What you’ll bring to the role  7- 9+ years of experience in UX/UI or Product Design, with a strong portfolio showcasing impactful design work. Large Language Model powered products such as Chatbot and Voicebot Contact Center Industry domain knowledge Expertise in user-centered design, interaction design, and usability best practices. Experience working with design systems and contributing to scalable UI frameworks. Ability to translate complex problems into simple and elegant solutions with a deep understanding of information architecture and workflow design. Strong storytelling and communication skills, capable of presenting design rationale and influencing stakeholders at all levels. Experience conducting user research and data analysis to drive product improvements. A proactive mindset with the ability to drive projects independently and collaborate effectively with teams. Compensation, Benefits, And Perks Excellent medical insurance options and free online doctor consultations Yearly privilege and sick leaves as per Karnataka S&E Act Generous holidays (National and Festive) recognition and parental leave policies Learning & Development fund to support your continuous learning journey and professional development Fun events to build culture across the organization Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.) Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.

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Sales Enablement Specialist About Us Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. Why Join Us Observe.AI is an AI Agent company in the customer experience industry, building AI Agents that automate interactions, AI copilots that assist in real time, and post-interaction intelligence that drive decisions. We’re operating at the cutting edge of Customer Experience GenAI, where the market opportunity is massive and still being defined. We’re seeking a Sales Enablement Specialist to lead the design and execution of a best-in-class new hire onboarding and ongoing enablement program for our Go-to-Market (GTM) teams. This role is equal parts strategic program leadership and hands-on delivery — perfect for someone who’s passionate about empowering revenue teams to perform at their peak.  As a Sales Enablement Specialist, you’ll own the programs, content, and learning experiences that ramp our GTM teams faster and raise the bar on execution. You’ll partner across Sales, Sales Engineering, Customer Success, Product,  and Product Marketing to deliver scalable, metrics-driven enablement that improves win rates, accelerates time-to-productivity, and helps enterprise buyers understand the value of AI Agents and Copilots. What You’ll Be Doing Own GTM onboarding end-to-end (AEs, SDRs, Channel, AMs, SEs): design 30/60/90 plans, define success metrics (e.g., time-to-first-meeting/opportunity, ramp time, certification completion), and track outcomes in Salesforce, Zoom Revenue Accelerator, and BoostUp. Build multi-modal learning: live sessions, async paths, certifications/badges, role plays, call libraries, playbooks, and virtual workshops tailored to role and segment. Codify CX GenAI sales plays: value-based messaging for AI Agents/Copilots, discovery frameworks, ROI/TCO and business cases, plus foundational AI topics (LLMs, RAG concepts, risk & compliance narratives) translated for non-technical sellers. Launch readiness: package product releases into field-ready kits (talk tracks, demo guides, objection handling, competitive notes) and coordinate calendar/communications with PMM and Product. Content governance: maintain a single source of truth in our CMS/LMS (SalesHood), manage version control, tagging, and content analytics to ensure content is easy to access, up to date, and effective. Deal/practice enablement: identify top-performer behaviors from call analytics; convert them into repeatable programs that shorten ramp and lift attainment. Cross-functional partnership: partner with GTM teams (ie. Product, Marketing, etc.) on our sales motion, and what assets, content, capabilities and resources are needed to help us drive revenue growth and improve sales productivity Measure & iterate: collect feedback, run quick pulse checks, A/B test formats, and continuously improve based on performance data. What You Bring to the Role Bachelor's degree in Sales, Business Administration, or a related field (or equivalent practical experience) 5+ years experience in Sales, Sales Enablement or related GTM roles role with a strong understanding of sales processes, methodologies and value-based selling  Proven ability to build and scale onboarding and ongoing enablement with measurable impact on ramp time, win rates, and tool/content adoption. Skilled at translating complex concepts (e.g., GenAI/LLM basics, RAG patterns, security/guardrails) into clear, seller-friendly narratives and exercises. Experience with enablement tools and BI platforms (e.g., Saleshood, Camtasia, Zoom Revenue Accelerator, ZoomInfo, Outreach, 6sense, Salesforce, etc). Strong program design and project management: you can scope, launch, and iterate programs end-to-end across global teams and time zones. Strong communication and presentation skills and confident leading sessions, coaching reps, and influencing stakeholders without direct authority. Perks & Benefits Competitive compensation including equity Excellent medical, dental, and vision insurance options Flexible time off  10 Company holidays + Winter Break and up to 16-weeks of parental leave 401K plan Quarterly Lifestyle Spend Monthly Mobile + Internet Stipend Pre-tax Commuter Benefits Salary Range The base salary compensation range targeted for this full-time position is $120,000 - $135,000 per annum. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives and equity (in the form of options). This salary range is an estimate, and the actual salary may vary based on the Company’s compensation practices. Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.   

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About Sana We're on a mission to revolutionize how humans access knowledge through artificial intelligence. Throughout history, breakthroughs in knowledge sharing—from the Library of Alexandria to the printing press to Google—have been pivotal drivers of human progress. Today, as the volume of human knowledge grows exponentially, making it accessible and actionable remains one of humanity's most critical challenges. We're building a future where knowledge isn't just more accessible—it's a catalyst for achieving the previously impossible. If all of this sounds exciting, you’re in the right place. Who you will work withWith talent density as our main north star, we have assembled a founding team of exceptional individuals from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG, all on a mission to reshape how humans access and use knowledge.Our AI products are already trusted by pioneering global companies and have served over 1 million users worldwide. We are backed by $130M+ in funding from leading investors including NEA, Menlo Ventures, and EQT Ventures.We've been recognized as a LinkedIn Top Startup, earned Fast Company's 2024 Next Big Things in Tech for AI & Data award, and been named to Forbes AI 50 list of top business AI companies. Yet we're just beginning our journey to transform how organizations and humans harness knowledge. About the roleSana's GTM team is responsible for bringing the Sana products to market. This includes identifying emerging needs and trends in markets and helping shape our products, identifying strategic needs of the world's most important organizations, understanding how Sana can solve their challenges, and shaping the future structure of Sana's GTM motion. The scope of the GTM team spans across products and geographies, focusing on new market expansion, strategic sales, and setting the blueprint, tools, and ways of working to enable us to scale.Sana is leading the way in an unprecedented time, with AI enabling change that will be more significant than the internet revolution. In this unprecedented moment, what we do one day can be obsolete the next. This requires extreme intuition, strategic minds, bold tradeoffs, and not least, grit. For the right person, it's equally challenging as it is rewarding, as we're doing something every day worth recounting to future generations. Who you areCurious: You seek to learn and see challenges as growth opportunities.Knowledge pioneer: You're passionate about transforming how people interact with and use knowledge to reach new heights of thinking.Growth-focused: Brings energy and dedication to exceed goals and inspire excellence in others. Excellence driven: You consistently deliver high-quality work at pace, setting and exceeding ambitious standards.Self-guided: You drive your own work, take initiative from day one, working autonomously while prioritizing learning and impact.What you bringExperience at a top-tier university and/or 1-2 years of experience at top-tier consulting firms (e.g., McKinsey, BCG, or Bain), or in a commercial or sales function at a B2B startup.Ability to assess markets and identify high-value opportunities, backed by tactical execution skills to convert insights into results.First-principles thinking and enthusiasm for solving complex problems with a “roll up your sleeves” mentality and bias for action. Collaborative nature and team-focused approach. What We OfferHelp shape AI's future alongside brilliant minds from Notion, Dropbox, Slack, Databricks, Google, McKinsey, and BCG.Competitive salary complemented with a transparent and highly competitive options program.Swift professional growth in an evolving environment, supported by a culture of continuous feedback and mentorship from senior leaders.Work with talented teammates across 5+ countries, and collaborate with customers globallyRegular team gatherings and events (recently in Italy and South Africa)

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About Us Observe.AI is the leading AI agent platform for customer experience. It enables enterprises to deploy AI agents that automate customer interactions, delivering natural conversations for customers with predictable outcomes for the business. Observe.AI combines advanced speech understanding, workflow automation, and enterprise-grade governance to execute end-to-end workflows with AI agents. It also enables teams to guide and augment human agents with AI copilots, and analyze 100% of human and AI interactions for insights, coaching, and quality management. Companies like DoorDash, Affordable Care, Signify Health, and Verida use Observe.AI to transform customer experiences every day by accelerating service speed, increasing operational efficiency, and strengthening customer loyalty across every channel. Why join us At Observe.AI , you’ll be at the forefront of driving customer success by owning critical integrations that power our AI platform. This role allows you to work directly with senior stakeholders, solve complex technical challenges using modern cloud technologies (AWS, MongoDB, Python), and influence how customers realise value from Day 1. You’ll collaborate cross-functionally with Product, Engineering, and Success teams, act as the technical SME in customer conversations, and design scalable solutions that shape both customer workflows and our platform’s growth—all while mentoring others and expanding your own expertise. What you’ll be doing Communicate Observe.AI’s infrastructure and technology to customers in a clear and consultative manner. Plan and execute integrations with Observe.AI, enabling clients to optimise their CCaaS setup and data export mechanisms. Independently handle complex integrations and lead customer technical discovery calls. Provide Level 2 support, troubleshoot client issues, and create detailed engineering tickets for resolution. Oversee end-to-end customer integration processes, including planning, technical configuration, and delivery. Develop and deploy scripts following best practices, with proper logging, alerting, and monitoring. Serve as the technical escalation point for the team, driving timely solutions and guiding junior engineers. Collaborate with cross-functional teams (Tech Support, SE, Implementations, CSM, Engineering) on escalations, feature requests, and automation initiatives. Document complex integrations, technical processes, and step-by-step solutions. Build tools and solutions to automate internal processes and enhance cross-team efficiency. Identify implementation and configuration risks and coordinate with relevant teams for mitigation. Provide tactical solutions for strategic customers, ensuring optimal setup and workflows. Partner with SE and Engineering teams to develop Proof of Value (POV) use cases and maximise customer success with integrations. Stay hands-on with integration technologies, including AWS (S3, Lambda, CLI, EC2, SQS, CloudWatch, CloudTrail, Systems Manager, Transfer Family), MongoDB, Python, and related tools. What you bring to the role 4–7 years of enterprise software experience, with 2+ years in a customer-facing technical role. Background in development, sales engineering, or integration engineering, preferably in SaaS/cloud-hosted solutions. Strong troubleshooting and problem-solving skills with a proven track record of managing technical projects. Hands-on programming experience (Python, Java, etc.) and proficiency in cloud platforms (AWS required). Excellent communication, presentation, and interpersonal skills, with the ability to explain technical concepts to non-technical audiences. Self-motivated, proactive, and able to operate independently without day-to-day management. Experience in SaaS-to-Enterprise data integration; quick to learn new technologies, including Observe.AI and customer-specific software.  Perks & Benefits Excellent medical insurance options and free online doctor consultations Yearly privilege and sick leaves as per Karnataka S&E Act Generous holidays (National and Festive) recognition and parental leave policies Learning & Development fund to support your continuous learning journey and professional development Fun events to build culture across the organization Flexible benefit plans for tax exemptions (i.e. Meal card, PF, etc.) Our Commitment to Inclusion and Belonging Observe.AI is an Equal Employment Opportunity employer that proudly pursues and hires a diverse workforce. Observe AI does not make hiring or employment decisions on the basis of race, color, religion or religious belief, ethnic or national origin, nationality, sex, gender, gender identity, sexual orientation, disability, age, military or veteran status, or any other basis protected by applicable local, state, or federal laws or prohibited by Company policy. Observe.AI also strives for a healthy and safe workplace and strictly prohibits harassment of any kind. We welcome all people. We celebrate diversity of all kinds and are committed to creating an inclusive culture built on a foundation of respect for all individuals. We seek to hire, develop, and retain talented people from all backgrounds. Individuals from non-traditional backgrounds, historically marginalized or underrepresented groups are strongly encouraged to apply. If you are ambitious, make an impact wherever you go, and you're ready to shape the future of Observe.AI, we encourage you to apply. For more information, visit www.observe.ai.

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ABOUT BASETENBaseten powers inference for the world's most dynamic AI companies, like OpenEvidence, Clay, Mirage, Gamma, Sourcegraph, Writer, Abridge, Bland, and Zed. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. With our recent $150M Series D funding, backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction, we’re scaling our team to meet accelerating customer demand.THE ROLE:Baseten’s Model Performance (MP) team is responsible for ensuring the models running on our platform are fast, reliable, and cost‑efficient. As part of this team, you’ll focus on Model API's — the infrastructure powering our hosted API endpoints for the latest open‑source models. This work spans distributed systems, model serving, and developer experience. You’ll join a small, high‑impact team operating at the intersection of product, model performance, and infra, helping to define how developers interact with AI models at scale.RESPONSIBILITIES:Design, build, and operate the Model APIs surface with focus on advanced inference capabilities: structured outputs (JSON mode, grammar-constrained generation), tool/function calling and multi-modal servingProfile and optimize TensorRT-LLM kernels, analyze CUDA kernel performance, implement custom CUDA operators, tune memory allocation patterns for maximum throughput and optimize communication patterns across multi-GPU setupsProductionize performance improvements across runtimes with deep understanding of their internals: speculative decoding implementations, guided generation for structured outputs, custom scheduling and routing algorithms for high-performance servingBuild comprehensive benchmarking frameworks that measure real-world performance across different model architectures, batch sizes, sequence lengths, and hardware configurationsProductionize performance improvements across runtimes (e.g.TensorRT, TensorRT‑LLM): speculative decoding, quantization, batching, and KV‑cache reuse.Instrument deep observability (metrics, traces, logs) and build repeatable benchmarks to measure speed, reliability, and quality.Implement platform fundamentals: API versioning, validation, usage metering, quotas, and authentication.Collaborate closely with other teams to deliver robust, developer‑friendly model serving experiences.REQUIREMENTS:3+ years experience building and operating distributed systems or large‑scale APIs.Proven track record of owning low‑latency, reliable backend services (rate‑limiting, auth, quotas, metering, migrations).Infra instincts with performance sensibilities: profiling, tracing, capacity planning, and SLO management.Comfortable debugging complex systems, from runtime internals to GPU execution traces.Strong written communication; able to produce clear design docs and collaborate across functions.NICE TO HAVE:Experience with LLM runtimes (vLLM, SGLang, TensorRT‑LLM) or contributions to open-source inference engines (vLLM, TensorRT-LLM, SGLang, TGI)Knowledge of Kubernetes, service meshes, API gateways, or distributed scheduling.Background in developer‑facing infrastructure or open‑source APIs.We value infra‑leaning generalists who bring strong engineering fundamentals and curiosity. ML experience is a plus, but not required.BENEFITSCompetitive compensation package.This is a unique opportunity to be part of a rapidly growing startup in one of the most exciting engineering fields of our era.An inclusive and supportive work culture that fosters learning and growth.Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities.Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status.